Fang Chu
Impact in
- Clinical Psychology top 10%
- COVID-19 and Mental Health
- Posttraumatic Stress Disorder Research
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 4
-
- Probability and Risk Models 3
- Co-authors
- Marvin K. Nakayama (3 shared papers)Xiao-Xia Niu (2 shared papers)Dong Ji (2 shared papers)Zhiqiang Sun (1 shared paper)Yingjie Ji (1 shared paper)Xuezhang Duan (1 shared paper)Huijuan Duan (1 shared paper)Hongmei Tang (1 shared paper)
- Journals
- Frontiers in Pharmacology (1 paper)International Journal of Biological Sciences (1 paper)Journal of Water Process Engineering (1 paper)Oncotarget (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesSierra Leone
In The Last Decade
Fang Chu
15 papers receiving 283 citations
Peers
Comparison fields: 5 of 69
- Clinical Psychology 139
- Statistics and Probability 29
- Statistics, Probability and Uncertainty 24
- General Health Professions 45
- Management Science and Operations Research 22
Countries citing papers authored by Fang Chu
This map shows the geographic impact of Fang Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Chu more than expected).
Fields of papers citing papers by Fang Chu
This network shows the impact of papers produced by Fang Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fang Chu. The network helps show where Fang Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 183 | |
| 2 | 2012 | 42 | |
| 3 | 2023 | 13 | |
| 4 | 2004 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2013 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2010 | 2 | |
| 13 | 2010 | 1 | |
| 14 | 2018 | 1 | |
| 15 | Variance reduction techniques for estimating quantiles and value-at-risk | 2010 | 1 |
| 16 | 2025 | 0 |
About Fang Chu
Fang Chu is a scholar working on Epidemiology, Management Science and Operations Research, Statistics and Probability, Hepatology and Finance, having authored 16 papers that have together received 289 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Statistical Distribution Estimation and Applications (3 papers), Probability and Risk Models (3 papers), Probabilistic and Robust Engineering Design (2 papers), Hepatitis C virus research (2 papers), Financial Risk and Volatility Modeling (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Clinical Psychology (139 citations), Statistics and Probability (29 citations), Statistics, Probability and Uncertainty (24 citations), General Health Professions (45 citations) and Management Science and Operations Research (22 citations). Fang Chu has collaborated with scholars based in China, United States and Sierra Leone. Frequent co-authors include Marvin K. Nakayama, Xiao-Xia Niu, Dong Ji, Zhiqiang Sun, Yingjie Ji, Xuezhang Duan, Huijuan Duan, Hongmei Tang, Xueai Song and Jin Li. Their work appears in journals such as Frontiers in Pharmacology, International Journal of Biological Sciences, Journal of Water Process Engineering, Oncotarget and BMC Infectious Diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.